IBM Cognos Framework Manager: Design Metadata Models ......IBM Cognos Framework Manager: Design...

B5252G www.globalknowledge.ae [email protected] 00 971 4 446 4987

IBM Cognos Framework Manager: Design Metadata Models (v10.2)

Duration: 5 Days Course Code: B5252G

Overview:

IBM Cognos Framework Manager: Design Metadata Models (V10.2) is a five-day, instructor-led online course that provides participants withintroductory to advanced knowledge of metadata modeling concepts, and how to model metadata for predictable reporting and analysis resultsusing Framework Manager. You will learn the full scope of the metadata modeling process, from initial project creation, to publishing ofmetadata to the Web, enabling end users to easily author reports and analyze data.

Target Audience:

This advanced course is intended for Developers.

Objectives:

Please refer to Course Overview for description information.

Prerequisites:

Required:

Knowledge of common industry standard data structures anddesignExperience with SQLExperience gathering requirements and analyzing data

Recommended:

IBM Cognos Report Studio: Author Professional ReportsFundamentals (V10.2)or CBT equivalent


Content:

Overview of IBM Cognos BI line line line

Discuss IBM Cognos and Performance Describe IBM Cognos components Describe IBM Cognos componentsManagement Describe IBM Cognos architecture at a Describe IBM Cognos architecture at a

high level high levelDefine IBM Cognos groups and roles Define IBM Cognos groups and roles

line Explain how to extend IBM Cognos Explain how to extend IBM Cognos Describe IBM Cognos components Examine relationships and cardinality Examine relationships and cardinalityDescribe IBM Cognos architecture at a high Identify different data traps Identify different data trapslevel Examine dimensional data sources Examine dimensional data sources Define IBM Cognos groups and roles Define reporting requirements Define reporting requirementsExplain how to extend IBM Cognos Explore data sources to identify data Explore data sources to identify dataExamine relationships and cardinality access strategies access strategies Identify different data traps Define a project and its structure Define a project and its structureExamine dimensional data sources Describe the Framework Manager Describe the Framework ManagerDefine reporting requirements environment environmentExplore data sources to identify data access Create a baseline project Create a baseline projectstrategies Enhance the model with additional Enhance the model with additionalDefine a project and its structure metadata metadata Describe the Framework Manager Examine relationships, and data traps Examine relationships, and data trapsenvironment Verify relationships and query item Verify relationships and query itemCreate a baseline project properties propertiesEnhance the model with additional metadata Ensure efficient filters by configuring Ensure efficient filters by configuringExamine relationships, and data traps prompt properties prompt properties Verify relationships and query item Describe how IBM Cognos BI uses Describe how IBM Cognos BI usesproperties cardinality cardinalityEnsure efficient filters by configuring prompt Identify reporting traps Identify reporting trapsproperties Use tools to analyze the model Use tools to analyze the model Describe how IBM Cognos BI uses Model in layers Model in layerscardinality Create aliases to avoid ambiguous joins Create aliases to avoid ambiguous joinsIdentify reporting traps Merge query subjects to create as view Merge query subjects to create as viewUse tools to analyze the model behavior behavior Model in layers Create virtual dimensions to resolve Create virtual dimensions to resolveCreate aliases to avoid ambiguous joins fact-to-fact joins fact-to-fact joinsMerge query subjects to create as view Create a consolidated modeling layer for Create a consolidated modeling layer forbehavior presentation purposes presentation purposesCreate virtual dimensions to resolve Consolidate snowflake dimensions with Consolidate snowflake dimensions withfact-to-fact joins model query subjects model query subjectsCreate a consolidated modeling layer for Simplify facts by hiding unnecessary Simplify facts by hiding unnecessary codespresentation purposes codes Use static filters to reduce the dataConsolidate snowflake dimensions with Use static filters to reduce the data returnedmodel query subjects returned Use macros and parameters inSimplify facts by hiding unnecessary codes Use macros and parameters in calculations and filters to dynamicallyUse static filters to reduce the data returned calculations and filters to dynamically control the data returned Use macros and parameters in calculations control the data returned Resolve confusion caused by multipleand filters to dynamically control the data Resolve confusion caused by multiple relationships between a time dimensionreturned relationships between a time dimension and another table Resolve confusion caused by multiple and another table Identify conformed vs. non-conformedrelationships between a time dimension and Identify conformed vs. non-conformed dimensionsanother table dimensions Create star schema groupings to provideIdentify conformed vs. non-conformed Create star schema groupings to provide authors with logical groupings of querydimensions authors with logical groupings of query subjectsCreate star schema groupings to provide subjects Rapidly create a model using the Modelauthors with logical groupings of query Rapidly create a model using the Model Design Accelerator subjects Design Accelerator Identify the effects on generated SQLRapidly create a model using the Model Identify the effects on generated SQL when modifying query subjects, SQLDesign Accelerator when modifying query subjects, SQL settings and relationshipsIdentify the effects on generated SQL when settings and relationships Restrict access to packagesmodifying query subjects, SQL settings and Restrict access to packages Create and apply security filtersrelationships Create and apply security filters Restrict access to objects in the model Restrict access to packages Restrict access to objects in the model Define members and member uniqueCreate and apply security filters Define members and member unique namesRestrict access to objects in the model names Identify changes that impact a MUNDefine members and member unique names Identify changes that impact a MUN Sort members for presentation and


Identify changes that impact a MUN Sort members for presentation and predictability Sort members for presentation and predictability Publish an OLAP modelpredictability Publish an OLAP model Publish a model with multiple OLAP dataPublish an OLAP model Publish a model with multiple OLAP data sourcesPublish a model with multiple OLAP data sources Publish a model with an OLAP data sourcesources Publish a model with an OLAP data and a relational data source Publish a model with an OLAP data source source and a relational data source Stitch query SQLand a relational data source Stitch query SQL Conformed and non-conformedStitch query SQL Conformed and non-conformed dimensions in generated SQLConformed and non-conformed dimensions dimensions in generated SQL Multi-fact/multi-grain stitch query SQLin generated SQL Multi-fact/multi-grain stitch query SQL Variances in Report Studio generated SQLMulti-fact/multi-grain stitch query SQL Variances in Report Studio generated Dimensionally modeled relational SQLVariances in Report Studio generated SQL SQL generationDimensionally modeled relational SQL Dimensionally modeled relational SQL Cross join SQLgeneration generation Various results sets for multi-fact queries Cross join SQL Cross join SQL Leverage session, model, and customVarious results sets for multi-fact queries Various results sets for multi-fact queries parametersLeverage session, model, and custom Leverage session, model, and custom Create prompt macrosparameters parameters Leverage macro functions associated withCreate prompt macros Create prompt macros security Leverage macro functions associated with Leverage macro functions associated Remap metadata to another sourcesecurity with security Import and link a second data sourceRemap metadata to another source Remap metadata to another source Run scripts to automate or update a modelImport and link a second data source Import and link a second data source Create a model report Run scripts to automate or update a model Run scripts to automate or update a Use Dynamic Query Mode in FrameworkCreate a model report model Manager Use Dynamic Query Mode in Framework Create a model report Branch a project and merge results Manager Use Dynamic Query Mode in Framework Control model versioningBranch a project and merge results Manager Nest packages Control model versioning Branch a project and merge results Set the order of operations in a modelNest packages Control model versioning calculationSet the order of operations in a model Nest packages Externalize query subjectscalculation Set the order of operations in a model Prepare IBM Cognos 10 content for use asExternalize query subjects calculation a data source in TransformerPrepare IBM Cognos 10 content for use as a Externalize query subjects Create query setsdata source in Transformer Prepare IBM Cognos 10 content for use Use external source control throughCreate query sets as a data source in Transformer Windows Explorer Use external source control through Create query setsWindows Explorer Use external source control through

Windows Explorer lineDescribe IBM Cognos components

line Describe IBM Cognos architecture at aDescribe IBM Cognos components line high levelDescribe IBM Cognos architecture at a high Describe IBM Cognos components Define IBM Cognos groups and roleslevel Describe IBM Cognos architecture at a Explain how to extend IBM Cognos Define IBM Cognos groups and roles high level Examine relationships and cardinalityExplain how to extend IBM Cognos Define IBM Cognos groups and roles Identify different data trapsExamine relationships and cardinality Explain how to extend IBM Cognos Examine dimensional data sources Identify different data traps Examine relationships and cardinality Define reporting requirementsExamine dimensional data sources Identify different data traps Explore data sources to identify dataDefine reporting requirements Examine dimensional data sources access strategies Explore data sources to identify data access Define reporting requirements Define a project and its structurestrategies Explore data sources to identify data Describe the Framework ManagerDefine a project and its structure access strategies environmentDescribe the Framework Manager Define a project and its structure Create a baseline projectenvironment Describe the Framework Manager Enhance the model with additionalCreate a baseline project environment metadata Enhance the model with additional metadata Create a baseline project Examine relationships, and data trapsExamine relationships, and data traps Enhance the model with additional Verify relationships and query itemVerify relationships and query item metadata propertiesproperties Examine relationships, and data traps Ensure efficient filters by configuringEnsure efficient filters by configuring prompt Verify relationships and query item prompt properties properties properties Describe how IBM Cognos BI usesDescribe how IBM Cognos BI uses Ensure efficient filters by configuring cardinalitycardinality prompt properties Identify reporting trapsIdentify reporting traps Describe how IBM Cognos BI uses Use tools to analyze the model


Use tools to analyze the model cardinality Model in layersModel in layers Identify reporting traps Create aliases to avoid ambiguous joinsCreate aliases to avoid ambiguous joins Use tools to analyze the model Merge query subjects to create as viewMerge query subjects to create as view Model in layers behavior behavior Create aliases to avoid ambiguous joins Create virtual dimensions to resolveCreate virtual dimensions to resolve Merge query subjects to create as view fact-to-fact joinsfact-to-fact joins behavior Create a consolidated modeling layer forCreate a consolidated modeling layer for Create virtual dimensions to resolve presentation purposespresentation purposes fact-to-fact joins Consolidate snowflake dimensions withConsolidate snowflake dimensions with Create a consolidated modeling layer for model query subjectsmodel query subjects presentation purposes Simplify facts by hiding unnecessary codesSimplify facts by hiding unnecessary codes Consolidate snowflake dimensions with Use static filters to reduce the dataUse static filters to reduce the data returned model query subjects returnedUse macros and parameters in calculations Simplify facts by hiding unnecessary Use macros and parameters inand filters to dynamically control the data codes calculations and filters to dynamicallyreturned Use static filters to reduce the data control the data returned Resolve confusion caused by multiple returned Resolve confusion caused by multiplerelationships between a time dimension and Use macros and parameters in relationships between a time dimensionanother table calculations and filters to dynamically and another table Identify conformed vs. non-conformed control the data returned Identify conformed vs. non-conformeddimensions Resolve confusion caused by multiple dimensionsCreate star schema groupings to provide relationships between a time dimension Create star schema groupings to provideauthors with logical groupings of query and another table authors with logical groupings of querysubjects Identify conformed vs. non-conformed subjectsRapidly create a model using the Model dimensions Rapidly create a model using the ModelDesign Accelerator Create star schema groupings to provide Design Accelerator Identify the effects on generated SQL when authors with logical groupings of query Identify the effects on generated SQLmodifying query subjects, SQL settings and subjects when modifying query subjects, SQLrelationships Rapidly create a model using the Model settings and relationshipsRestrict access to packages Design Accelerator Restrict access to packagesCreate and apply security filters Identify the effects on generated SQL Create and apply security filtersRestrict access to objects in the model when modifying query subjects, SQL Restrict access to objects in the model Define members and member unique names settings and relationships Define members and member uniqueIdentify changes that impact a MUN Restrict access to packages namesSort members for presentation and Create and apply security filters Identify changes that impact a MUNpredictability Restrict access to objects in the model Sort members for presentation andPublish an OLAP model Define members and member unique predictability Publish a model with multiple OLAP data names Publish an OLAP modelsources Identify changes that impact a MUN Publish a model with multiple OLAP dataPublish a model with an OLAP data source Sort members for presentation and sourcesand a relational data source predictability Publish a model with an OLAP data sourceStitch query SQL Publish an OLAP model and a relational data source Conformed and non-conformed dimensions Publish a model with multiple OLAP data Stitch query SQLin generated SQL sources Conformed and non-conformedMulti-fact/multi-grain stitch query SQL Publish a model with an OLAP data dimensions in generated SQLVariances in Report Studio generated SQL source and a relational data source Multi-fact/multi-grain stitch query SQLDimensionally modeled relational SQL Stitch query SQL Variances in Report Studio generated SQLgeneration Conformed and non-conformed Dimensionally modeled relational SQLCross join SQL dimensions in generated SQL generationVarious results sets for multi-fact queries Multi-fact/multi-grain stitch query SQL Cross join SQLLeverage session, model, and custom Variances in Report Studio generated Various results sets for multi-fact queries parameters SQL Leverage session, model, and customCreate prompt macros Dimensionally modeled relational SQL parametersLeverage macro functions associated with generation Create prompt macrossecurity Cross join SQL Leverage macro functions associated withRemap metadata to another source Various results sets for multi-fact queries security Import and link a second data source Leverage session, model, and custom Remap metadata to another sourceRun scripts to automate or update a model parameters Import and link a second data sourceCreate a model report Create prompt macros Run scripts to automate or update a modelUse Dynamic Query Mode in Framework Leverage macro functions associated Create a model report Manager with security Use Dynamic Query Mode in FrameworkBranch a project and merge results Remap metadata to another source Manager Control model versioning Import and link a second data source Branch a project and merge results Nest packages Run scripts to automate or update a Control model versioningSet the order of operations in a model model Nest packages calculation Create a model report Set the order of operations in a model


Externalize query subjects Use Dynamic Query Mode in Framework calculationPrepare IBM Cognos 10 content for use as a Manager Externalize query subjectsdata source in Transformer Branch a project and merge results Prepare IBM Cognos 10 content for use asCreate query sets Control model versioning a data source in TransformerUse external source control through Nest packages Create query setsWindows Explorer Set the order of operations in a model Use external source control through

calculation Windows Explorer Externalize query subjects

line Prepare IBM Cognos 10 content for useDescribe IBM Cognos components as a data source in Transformer lineDescribe IBM Cognos architecture at a high Create query sets Describe IBM Cognos componentslevel Use external source control through Describe IBM Cognos architecture at aDefine IBM Cognos groups and roles Windows Explorer high levelExplain how to extend IBM Cognos Define IBM Cognos groups and rolesExamine relationships and cardinality Explain how to extend IBM Cognos Identify different data traps line Examine relationships and cardinalityExamine dimensional data sources Describe IBM Cognos components Identify different data trapsDefine reporting requirements Describe IBM Cognos architecture at a Examine dimensional data sources Explore data sources to identify data access high level Define reporting requirementsstrategies Define IBM Cognos groups and roles Explore data sources to identify dataDefine a project and its structure Explain how to extend IBM Cognos access strategies Describe the Framework Manager Examine relationships and cardinality Define a project and its structureenvironment Identify different data traps Describe the Framework ManagerCreate a baseline project Examine dimensional data sources environmentEnhance the model with additional metadata Define reporting requirements Create a baseline projectExamine relationships, and data traps Explore data sources to identify data Enhance the model with additionalVerify relationships and query item access strategies metadata properties Define a project and its structure Examine relationships, and data trapsEnsure efficient filters by configuring prompt Describe the Framework Manager Verify relationships and query itemproperties environment propertiesDescribe how IBM Cognos BI uses Create a baseline project Ensure efficient filters by configuringcardinality Enhance the model with additional prompt properties Identify reporting traps metadata Describe how IBM Cognos BI usesUse tools to analyze the model Examine relationships, and data traps cardinalityModel in layers Verify relationships and query item Identify reporting trapsCreate aliases to avoid ambiguous joins properties Use tools to analyze the model Merge query subjects to create as view Ensure efficient filters by configuring Model in layersbehavior prompt properties Create aliases to avoid ambiguous joinsCreate virtual dimensions to resolve Describe how IBM Cognos BI uses Merge query subjects to create as viewfact-to-fact joins cardinality behavior Create a consolidated modeling layer for Identify reporting traps Create virtual dimensions to resolvepresentation purposes Use tools to analyze the model fact-to-fact joinsConsolidate snowflake dimensions with Model in layers Create a consolidated modeling layer formodel query subjects Create aliases to avoid ambiguous joins presentation purposesSimplify facts by hiding unnecessary codes Merge query subjects to create as view Consolidate snowflake dimensions withUse static filters to reduce the data returned behavior model query subjectsUse macros and parameters in calculations Create virtual dimensions to resolve Simplify facts by hiding unnecessary codesand filters to dynamically control the data fact-to-fact joins Use static filters to reduce the datareturned Create a consolidated modeling layer for returnedResolve confusion caused by multiple presentation purposes Use macros and parameters inrelationships between a time dimension and Consolidate snowflake dimensions with calculations and filters to dynamicallyanother table model query subjects control the data returned Identify conformed vs. non-conformed Simplify facts by hiding unnecessary Resolve confusion caused by multipledimensions codes relationships between a time dimensionCreate star schema groupings to provide Use static filters to reduce the data and another table authors with logical groupings of query returned Identify conformed vs. non-conformedsubjects Use macros and parameters in dimensionsRapidly create a model using the Model calculations and filters to dynamically Create star schema groupings to provideDesign Accelerator control the data returned authors with logical groupings of queryIdentify the effects on generated SQL when Resolve confusion caused by multiple subjectsmodifying query subjects, SQL settings and relationships between a time dimension Rapidly create a model using the Modelrelationships and another table Design Accelerator Restrict access to packages Identify conformed vs. non-conformed Identify the effects on generated SQLCreate and apply security filters dimensions when modifying query subjects, SQLRestrict access to objects in the model Create star schema groupings to provide settings and relationshipsDefine members and member unique names authors with logical groupings of query Restrict access to packages


Identify changes that impact a MUN subjects Create and apply security filtersSort members for presentation and Rapidly create a model using the Model Restrict access to objects in the model predictability Design Accelerator Define members and member uniquePublish an OLAP model Identify the effects on generated SQL namesPublish a model with multiple OLAP data when modifying query subjects, SQL Identify changes that impact a MUNsources settings and relationships Sort members for presentation andPublish a model with an OLAP data source Restrict access to packages predictability and a relational data source Create and apply security filters Publish an OLAP modelStitch query SQL Restrict access to objects in the model Publish a model with multiple OLAP dataConformed and non-conformed dimensions Define members and member unique sourcesin generated SQL names Publish a model with an OLAP data sourceMulti-fact/multi-grain stitch query SQL Identify changes that impact a MUN and a relational data source Variances in Report Studio generated SQL Sort members for presentation and Stitch query SQLDimensionally modeled relational SQL predictability Conformed and non-conformedgeneration Publish an OLAP model dimensions in generated SQLCross join SQL Publish a model with multiple OLAP data Multi-fact/multi-grain stitch query SQLVarious results sets for multi-fact queries sources Variances in Report Studio generated SQLLeverage session, model, and custom Publish a model with an OLAP data Dimensionally modeled relational SQLparameters source and a relational data source generationCreate prompt macros Stitch query SQL Cross join SQLLeverage macro functions associated with Conformed and non-conformed Various results sets for multi-fact queries security dimensions in generated SQL Leverage session, model, and customRemap metadata to another source Multi-fact/multi-grain stitch query SQL parametersImport and link a second data source Variances in Report Studio generated Create prompt macrosRun scripts to automate or update a model SQL Leverage macro functions associated withCreate a model report Dimensionally modeled relational SQL security Use Dynamic Query Mode in Framework generation Remap metadata to another sourceManager Cross join SQL Import and link a second data sourceBranch a project and merge results Various results sets for multi-fact queries Run scripts to automate or update a modelControl model versioning Leverage session, model, and custom Create a model report Nest packages parameters Use Dynamic Query Mode in FrameworkSet the order of operations in a model Create prompt macros Manager calculation Leverage macro functions associated Branch a project and merge results Externalize query subjects with security Control model versioningPrepare IBM Cognos 10 content for use as a Remap metadata to another source Nest packages data source in Transformer Import and link a second data source Set the order of operations in a modelCreate query sets Run scripts to automate or update a calculationUse external source control through model Externalize query subjectsWindows Explorer Create a model report Prepare IBM Cognos 10 content for use as

Use Dynamic Query Mode in Framework a data source in TransformerManager Create query sets

line Branch a project and merge results Use external source control throughDescribe IBM Cognos components Control model versioning Windows Explorer Describe IBM Cognos architecture at a high Nest packages level Set the order of operations in a modelDefine IBM Cognos groups and roles calculation lineExplain how to extend IBM Cognos Externalize query subjects Describe IBM Cognos componentsExamine relationships and cardinality Prepare IBM Cognos 10 content for use Describe IBM Cognos architecture at aIdentify different data traps as a data source in Transformer high levelExamine dimensional data sources Create query sets Define IBM Cognos groups and rolesDefine reporting requirements Use external source control through Explain how to extend IBM Cognos Explore data sources to identify data access Windows Explorer Examine relationships and cardinalitystrategies Identify different data trapsDefine a project and its structure Calculations and Filters Examine dimensional data sources Describe the Framework Manager line Define reporting requirementsenvironment Use calculations to create Explore data sources to identify dataCreate a baseline project commonly-needed query items for access strategies Enhance the model with additional metadata authors Define a project and its structureExamine relationships, and data traps Describe the Framework ManagerVerify relationships and query item environmentproperties line Create a baseline projectEnsure efficient filters by configuring prompt Describe IBM Cognos components Enhance the model with additionalproperties Describe IBM Cognos architecture at a metadata Describe how IBM Cognos BI uses high level Examine relationships, and data trapscardinality Define IBM Cognos groups and roles Verify relationships and query itemIdentify reporting traps Explain how to extend IBM Cognos properties


Use tools to analyze the model Examine relationships and cardinality Ensure efficient filters by configuringModel in layers Identify different data traps prompt properties Create aliases to avoid ambiguous joins Examine dimensional data sources Describe how IBM Cognos BI usesMerge query subjects to create as view Define reporting requirements cardinalitybehavior Explore data sources to identify data Identify reporting trapsCreate virtual dimensions to resolve access strategies Use tools to analyze the model fact-to-fact joins Define a project and its structure Model in layersCreate a consolidated modeling layer for Describe the Framework Manager Create aliases to avoid ambiguous joinspresentation purposes environment Merge query subjects to create as viewConsolidate snowflake dimensions with Create a baseline project behavior model query subjects Enhance the model with additional Create virtual dimensions to resolveSimplify facts by hiding unnecessary codes metadata fact-to-fact joinsUse static filters to reduce the data returned Examine relationships, and data traps Create a consolidated modeling layer forUse macros and parameters in calculations Verify relationships and query item presentation purposesand filters to dynamically control the data properties Consolidate snowflake dimensions withreturned Ensure efficient filters by configuring model query subjectsResolve confusion caused by multiple prompt properties Simplify facts by hiding unnecessary codesrelationships between a time dimension and Describe how IBM Cognos BI uses Use static filters to reduce the dataanother table cardinality returnedIdentify conformed vs. non-conformed Identify reporting traps Use macros and parameters indimensions Use tools to analyze the model calculations and filters to dynamicallyCreate star schema groupings to provide Model in layers control the data returned authors with logical groupings of query Create aliases to avoid ambiguous joins Resolve confusion caused by multiplesubjects Merge query subjects to create as view relationships between a time dimensionRapidly create a model using the Model behavior and another table Design Accelerator Create virtual dimensions to resolve Identify conformed vs. non-conformedIdentify the effects on generated SQL when fact-to-fact joins dimensionsmodifying query subjects, SQL settings and Create a consolidated modeling layer for Create star schema groupings to providerelationships presentation purposes authors with logical groupings of queryRestrict access to packages Consolidate snowflake dimensions with subjectsCreate and apply security filters model query subjects Rapidly create a model using the ModelRestrict access to objects in the model Simplify facts by hiding unnecessary Design Accelerator Define members and member unique names codes Identify the effects on generated SQLIdentify changes that impact a MUN Use static filters to reduce the data when modifying query subjects, SQLSort members for presentation and returned settings and relationshipspredictability Use macros and parameters in Restrict access to packagesPublish an OLAP model calculations and filters to dynamically Create and apply security filtersPublish a model with multiple OLAP data control the data returned Restrict access to objects in the model sources Resolve confusion caused by multiple Define members and member uniquePublish a model with an OLAP data source relationships between a time dimension namesand a relational data source and another table Identify changes that impact a MUNStitch query SQL Identify conformed vs. non-conformed Sort members for presentation andConformed and non-conformed dimensions dimensions predictability in generated SQL Create star schema groupings to provide Publish an OLAP modelMulti-fact/multi-grain stitch query SQL authors with logical groupings of query Publish a model with multiple OLAP dataVariances in Report Studio generated SQL subjects sourcesDimensionally modeled relational SQL Rapidly create a model using the Model Publish a model with an OLAP data sourcegeneration Design Accelerator and a relational data source Cross join SQL Identify the effects on generated SQL Stitch query SQLVarious results sets for multi-fact queries when modifying query subjects, SQL Conformed and non-conformedLeverage session, model, and custom settings and relationships dimensions in generated SQLparameters Restrict access to packages Multi-fact/multi-grain stitch query SQLCreate prompt macros Create and apply security filters Variances in Report Studio generated SQLLeverage macro functions associated with Restrict access to objects in the model Dimensionally modeled relational SQLsecurity Define members and member unique generationRemap metadata to another source names Cross join SQLImport and link a second data source Identify changes that impact a MUN Various results sets for multi-fact queries Run scripts to automate or update a model Sort members for presentation and Leverage session, model, and customCreate a model report predictability parametersUse Dynamic Query Mode in Framework Publish an OLAP model Create prompt macrosManager Publish a model with multiple OLAP data Leverage macro functions associated withBranch a project and merge results sources security Control model versioning Publish a model with an OLAP data Remap metadata to another sourceNest packages source and a relational data source Import and link a second data sourceSet the order of operations in a model Stitch query SQL Run scripts to automate or update a modelcalculation Conformed and non-conformed Create a model report


Externalize query subjects dimensions in generated SQL Use Dynamic Query Mode in FrameworkPrepare IBM Cognos 10 content for use as a Multi-fact/multi-grain stitch query SQL Manager data source in Transformer Variances in Report Studio generated Branch a project and merge results Create query sets SQL Control model versioningUse external source control through Dimensionally modeled relational SQL Nest packages Windows Explorer generation Set the order of operations in a model

Cross join SQL calculationIdentify Common Data Structures Various results sets for multi-fact queries Externalize query subjectsline Leverage session, model, and custom Prepare IBM Cognos 10 content for use as

Examine the characteristics of operational parameters a data source in Transformerdatabases and databases designed for Create prompt macros Create query setsreporting Leverage macro functions associated Use external source control through

with security Windows Explorer Remap metadata to another source

line Import and link a second data sourceDescribe IBM Cognos components Run scripts to automate or update a lineDescribe IBM Cognos architecture at a high model Describe IBM Cognos componentslevel Create a model report Describe IBM Cognos architecture at aDefine IBM Cognos groups and roles Use Dynamic Query Mode in Framework high levelExplain how to extend IBM Cognos Manager Define IBM Cognos groups and rolesExamine relationships and cardinality Branch a project and merge results Explain how to extend IBM Cognos Identify different data traps Control model versioning Examine relationships and cardinalityExamine dimensional data sources Nest packages Identify different data trapsDefine reporting requirements Set the order of operations in a model Examine dimensional data sources Explore data sources to identify data access calculation Define reporting requirementsstrategies Externalize query subjects Explore data sources to identify dataDefine a project and its structure Prepare IBM Cognos 10 content for use access strategies Describe the Framework Manager as a data source in Transformer Define a project and its structureenvironment Create query sets Describe the Framework ManagerCreate a baseline project Use external source control through environmentEnhance the model with additional metadata Windows Explorer Create a baseline projectExamine relationships, and data traps Enhance the model with additionalVerify relationships and query item metadata properties line Examine relationships, and data trapsEnsure efficient filters by configuring prompt Describe IBM Cognos components Verify relationships and query itemproperties Describe IBM Cognos architecture at a propertiesDescribe how IBM Cognos BI uses high level Ensure efficient filters by configuringcardinality Define IBM Cognos groups and roles prompt properties Identify reporting traps Explain how to extend IBM Cognos Describe how IBM Cognos BI usesUse tools to analyze the model Examine relationships and cardinality cardinalityModel in layers Identify different data traps Identify reporting trapsCreate aliases to avoid ambiguous joins Examine dimensional data sources Use tools to analyze the model Merge query subjects to create as view Define reporting requirements Model in layersbehavior Explore data sources to identify data Create aliases to avoid ambiguous joinsCreate virtual dimensions to resolve access strategies Merge query subjects to create as viewfact-to-fact joins Define a project and its structure behavior Create a consolidated modeling layer for Describe the Framework Manager Create virtual dimensions to resolvepresentation purposes environment fact-to-fact joinsConsolidate snowflake dimensions with Create a baseline project Create a consolidated modeling layer formodel query subjects Enhance the model with additional presentation purposesSimplify facts by hiding unnecessary codes metadata Consolidate snowflake dimensions withUse static filters to reduce the data returned Examine relationships, and data traps model query subjectsUse macros and parameters in calculations Verify relationships and query item Simplify facts by hiding unnecessary codesand filters to dynamically control the data properties Use static filters to reduce the datareturned Ensure efficient filters by configuring returnedResolve confusion caused by multiple prompt properties Use macros and parameters inrelationships between a time dimension and Describe how IBM Cognos BI uses calculations and filters to dynamicallyanother table cardinality control the data returned Identify conformed vs. non-conformed Identify reporting traps Resolve confusion caused by multipledimensions Use tools to analyze the model relationships between a time dimensionCreate star schema groupings to provide Model in layers and another table authors with logical groupings of query Create aliases to avoid ambiguous joins Identify conformed vs. non-conformedsubjects Merge query subjects to create as view dimensionsRapidly create a model using the Model behavior Create star schema groupings to provideDesign Accelerator Create virtual dimensions to resolve authors with logical groupings of queryIdentify the effects on generated SQL when fact-to-fact joins subjects


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to resolve Merge query subjects to create as view Import and link a second data sourcefact-to-fact joins behavior Run scripts to automate or update a modelCreate a consolidated modeling layer for Create virtual dimensions to resolve Create a model report presentation purposes fact-to-fact joins Use Dynamic Query Mode in FrameworkConsolidate snowflake dimensions with Create a consolidated modeling layer for Manager model query subjects presentation purposes Branch a project and merge results Simplify facts by hiding unnecessary codes Consolidate snowflake dimensions with Control model versioningUse static filters to reduce the data returned model query subjects Nest packages Use macros and parameters in calculations Simplify facts by hiding unnecessary Set the order of operations in a modeland filters to dynamically control the data codes calculationreturned Use static filters to reduce the data Externalize query subjectsResolve confusion caused by multiple returned Prepare IBM Cognos 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line Create and apply security filtersDescribe IBM Cognos components line Restrict access to objects in the model Describe IBM Cognos architecture at a high Describe IBM Cognos components Define members and member uniquelevel Describe IBM Cognos architecture at a namesDefine IBM Cognos groups and roles high level Identify changes that impact a MUNExplain how to extend IBM Cognos Define IBM Cognos groups and roles Sort members for presentation andExamine relationships and cardinality Explain how to extend IBM Cognos predictability Identify different data traps Examine relationships and cardinality Publish an OLAP modelExamine dimensional data sources Identify different data traps Publish a model with multiple OLAP dataDefine reporting requirements Examine dimensional data sources sourcesExplore data sources to identify data access Define reporting requirements Publish a model with an OLAP data sourcestrategies Explore data sources to identify data and a relational data source Define a project and its structure access strategies Stitch query SQLDescribe the Framework Manager Define a project and its structure Conformed and non-conformedenvironment Describe the Framework Manager dimensions in generated SQLCreate a baseline project environment Multi-fact/multi-grain stitch query SQLEnhance the model with additional metadata Create a baseline project Variances in Report Studio generated SQLExamine relationships, and data traps Enhance the model with additional Dimensionally modeled relational SQLVerify relationships and query item metadata generationproperties Examine relationships, and data traps Cross join SQLEnsure efficient filters by configuring prompt Verify relationships and query item Various results sets for multi-fact queries properties properties Leverage session, model, and customDescribe how IBM Cognos BI uses Ensure efficient filters by configuring parameterscardinality prompt properties Create prompt macrosIdentify reporting traps Describe how IBM Cognos BI uses Leverage macro functions associated withUse tools to analyze the model cardinality security Model in layers Identify reporting traps Remap metadata to another sourceCreate aliases to avoid ambiguous joins Use tools to analyze the model Import and link a second data sourceMerge query subjects to create as view Model in layers Run scripts to automate or update a modelbehavior Create aliases to avoid ambiguous joins Create a model report Create virtual dimensions to resolve Merge query subjects to create as view Use Dynamic Query Mode in Frameworkfact-to-fact joins behavior Manager Create a consolidated modeling layer for Create virtual dimensions to resolve Branch a project and merge results


presentation purposes fact-to-fact joins Control model versioningConsolidate snowflake dimensions with Create a consolidated modeling layer for Nest packages model query subjects presentation purposes Set the order of operations in a modelSimplify facts by hiding unnecessary codes Consolidate snowflake dimensions with calculationUse static filters to reduce the data returned model query subjects Externalize query subjectsUse macros and parameters in calculations Simplify facts by hiding unnecessary Prepare IBM Cognos 10 content for use asand filters to dynamically control the data codes a data source in Transformerreturned Use static filters to reduce the data Create query setsResolve confusion caused by multiple returned Use external source control throughrelationships between a time dimension and Use macros and parameters in Windows Explorer another table calculations and filters to dynamicallyIdentify conformed vs. non-conformed control the data returned Appendix A: Employ Additional Modelingdimensions Resolve confusion caused by multiple Techniques Create star schema groupings to provide relationships between a time dimension lineauthors with logical groupings of query and another table Leverage a user defined functionsubjects Identify conformed vs. non-conformedRapidly create a model using the Model dimensionsDesign Accelerator Create star schema groupings to provide lineIdentify the effects on generated SQL when authors with logical groupings of query Describe IBM Cognos componentsmodifying query subjects, SQL settings and subjects Describe IBM Cognos architecture at arelationships Rapidly create a model using the Model high levelRestrict access to packages Design Accelerator Define IBM Cognos groups and rolesCreate and apply security filters Identify the effects on generated SQL Explain how to extend IBM Cognos Restrict access to objects in the model when modifying query subjects, SQL Examine relationships and cardinalityDefine members and member unique names settings and relationships Identify different data trapsIdentify changes that impact a MUN Restrict access to packages Examine dimensional data sources Sort members for presentation and Create and apply security filters Define reporting requirementspredictability Restrict access to objects in the model Explore data sources to identify dataPublish an OLAP model Define members and member unique access strategies Publish a model with multiple OLAP data names Define a project and its structuresources Identify changes that impact a MUN Describe the Framework ManagerPublish a model with an OLAP data source Sort members for presentation and environmentand a relational data source predictability Create a baseline projectStitch query SQL Publish an OLAP model Enhance the model with additionalConformed and non-conformed dimensions Publish a model with multiple OLAP data metadata in generated SQL sources Examine relationships, and data trapsMulti-fact/multi-grain stitch query SQL 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Cognos Identify changes that impact a MUNDescribe the Framework Manager Examine relationships and cardinality Sort members for presentation andenvironment Identify different data traps predictability Create a baseline project Examine dimensional data sources Publish an OLAP modelEnhance the model with additional metadata Define reporting requirements Publish a model with multiple OLAP dataExamine relationships, and data traps Explore data sources to identify data sourcesVerify relationships and query item access strategies Publish a model with an OLAP data sourceproperties Define a project and its structure and a relational data source Ensure efficient filters by configuring prompt Describe the Framework Manager Stitch query SQLproperties environment Conformed and non-conformedDescribe how IBM Cognos BI uses Create a baseline project dimensions in generated SQLcardinality Enhance the model with additional Multi-fact/multi-grain stitch query SQLIdentify reporting traps metadata 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Use macros and parameters in Create query setsRapidly create a model using the Model calculations and filters to dynamically Use external source control throughDesign Accelerator control the data returned Windows Explorer Identify the effects on generated SQL when Resolve confusion caused by multiplemodifying query subjects, SQL settings and relationships between a time dimensionrelationships and another table lineRestrict access to packages Identify conformed vs. non-conformed Describe IBM Cognos componentsCreate and apply security filters dimensions Describe IBM Cognos architecture at aRestrict access to objects in the model Create star schema groupings to provide high levelDefine members and member unique names authors with logical groupings of query Define IBM Cognos groups and rolesIdentify changes that impact a MUN subjects Explain how to extend IBM Cognos Sort members for presentation and Rapidly create a model using the Model Examine relationships and cardinalitypredictability 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predictability calculations and filters to dynamically Identify different data trapsPublish an OLAP model control the data returned Examine dimensional data sources Publish a model with multiple OLAP data Resolve confusion caused by multiple Define reporting requirementssources relationships between a time dimension Explore data sources to identify dataPublish a model with an OLAP data source and another table access strategies and a relational data source Identify conformed vs. non-conformed Define a project and its structureStitch query SQL dimensions Describe the Framework ManagerConformed and non-conformed dimensions Create star schema groupings to provide environmentin generated SQL authors with logical groupings of query Create a baseline projectMulti-fact/multi-grain stitch query SQL subjects Enhance the model with additionalVariances in Report Studio generated SQL Rapidly create a model using the Model metadata Dimensionally modeled relational SQL Design Accelerator Examine relationships, and data trapsgeneration Identify the effects on generated SQL Verify relationships and query itemCross join SQL when modifying query subjects, SQL propertiesVarious results sets for multi-fact queries settings and relationships Ensure efficient filters by configuringLeverage session, model, and custom Restrict access to packages prompt properties parameters Create and apply security filters Describe how IBM Cognos BI usesCreate prompt macros Restrict access to objects in the model cardinalityLeverage macro functions associated with Define members and member unique Identify reporting trapssecurity names Use tools to analyze the model Remap metadata to another source Identify changes that impact a MUN Model in layersImport and link a second data source Sort members for presentation and Create aliases to avoid ambiguous joinsRun scripts to automate or update a model predictability Merge query subjects to create as viewCreate a model report Publish an OLAP model behavior Use Dynamic Query Mode in Framework Publish a model with multiple OLAP data Create virtual dimensions to resolveManager sources fact-to-fact joinsBranch a project and merge results Publish a model with an OLAP data Create a consolidated modeling layer forControl model versioning source and a relational data source presentation purposesNest packages Stitch query SQL Consolidate snowflake dimensions withSet the order of operations in a model Conformed and non-conformed model query subjectscalculation dimensions in generated SQL Simplify facts by hiding unnecessary codesExternalize query subjects Multi-fact/multi-grain stitch query SQL Use static filters to reduce the dataPrepare IBM Cognos 10 content for use as a Variances in Report Studio generated returneddata source in Transformer SQL Use macros and parameters inCreate query sets Dimensionally modeled relational SQL calculations and filters to dynamicallyUse external source control through generation control the data returned Windows Explorer Cross join SQL Resolve confusion caused by multiple

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Create aliases to avoid ambiguous joins high level Variances in Report Studio generated SQLMerge query subjects to create as view Define IBM Cognos groups and roles Dimensionally modeled relational SQLbehavior Explain how to extend IBM Cognos generationCreate virtual dimensions to resolve Examine relationships and cardinality Cross join SQLfact-to-fact joins Identify different data traps Various results sets for multi-fact queries Create a consolidated modeling layer for Examine dimensional data sources Leverage session, model, and custompresentation purposes Define reporting requirements parametersConsolidate snowflake dimensions with Explore data sources to identify data Create prompt macrosmodel query subjects access strategies Leverage macro functions associated withSimplify facts by hiding unnecessary codes Define a project and its structure security Use static filters to reduce the data returned Describe the Framework Manager Remap metadata to another sourceUse macros and parameters in calculations environment Import and link a second data sourceand filters to dynamically control the data Create a baseline project Run scripts to automate or update a modelreturned Enhance the model with additional Create a model report Resolve confusion caused by multiple metadata Use Dynamic Query Mode in Frameworkrelationships between a time dimension and Examine relationships, and data traps Manager another table Verify relationships and query item Branch a project and merge results Identify conformed vs. non-conformed properties Control model versioningdimensions Ensure efficient filters by configuring Nest packages Create star schema groupings to provide prompt properties Set the order of operations in a modelauthors with logical groupings of query Describe how IBM Cognos BI uses calculationsubjects cardinality Externalize query subjectsRapidly create a model using the Model Identify reporting traps Prepare IBM Cognos 10 content for use asDesign Accelerator Use tools to analyze the model a data source in TransformerIdentify the effects on generated SQL when Model in layers Create query setsmodifying query subjects, SQL settings and Create aliases to avoid ambiguous joins Use external source control throughrelationships Merge query subjects to create as view Windows Explorer Restrict access to packages behavior Create and apply security filters Create virtual dimensions to resolveRestrict access to objects in the model fact-to-fact joins lineDefine members and member unique names Create a consolidated modeling layer for Describe IBM Cognos componentsIdentify changes that impact a MUN presentation purposes Describe IBM Cognos architecture at aSort members for presentation and Consolidate snowflake dimensions with high levelpredictability model query subjects Define IBM Cognos groups and rolesPublish an OLAP model Simplify facts by hiding unnecessary Explain how to extend IBM Cognos Publish a model with multiple OLAP data codes Examine relationships and cardinalitysources Use static filters to reduce the data Identify different data trapsPublish a model with an OLAP data source returned Examine dimensional data sources and a relational data source Use macros and parameters in Define reporting requirementsStitch query SQL calculations and filters to dynamically Explore data sources to identify dataConformed and non-conformed dimensions control the data returned access strategies in generated SQL Resolve confusion caused by multiple Define a project and its structureMulti-fact/multi-grain stitch query SQL relationships between a time dimension Describe the Framework ManagerVariances in Report Studio generated SQL and another table environmentDimensionally modeled relational SQL Identify conformed vs. non-conformed Create a baseline projectgeneration dimensions Enhance the model with additionalCross join SQL Create star schema groupings to provide metadata Various results sets for multi-fact queries authors with logical groupings of query Examine relationships, and data trapsLeverage session, model, and custom subjects Verify relationships and query itemparameters Rapidly create a model using the Model propertiesCreate prompt macros Design Accelerator Ensure efficient filters by configuringLeverage macro functions associated with Identify the effects on generated SQL prompt properties security when modifying query subjects, SQL Describe how IBM Cognos BI usesRemap metadata to another source settings and relationships cardinalityImport and link a second data source Restrict access to packages Identify reporting trapsRun scripts to automate or update a model Create and apply security filters Use tools to analyze the model Create a model report Restrict access to objects in the model Model in layersUse Dynamic Query Mode in Framework Define members and member unique Create aliases to avoid ambiguous joinsManager names Merge query subjects to create as viewBranch a project and merge results Identify changes that impact a MUN behavior Control model versioning Sort members for presentation and Create virtual dimensions to resolveNest packages predictability fact-to-fact joinsSet the order of operations in a model Publish an OLAP model Create a consolidated modeling layer forcalculation Publish a model with multiple OLAP data presentation purposesExternalize query subjects sources Consolidate snowflake dimensions withPrepare IBM Cognos 10 content for use as a Publish a model with an OLAP data model query subjects


data source in Transformer source and a relational data source Simplify facts by hiding unnecessary codesCreate query sets Stitch query SQL Use static filters to reduce the dataUse external source control through Conformed and non-conformed returnedWindows Explorer dimensions in generated SQL Use macros and parameters in

Multi-fact/multi-grain stitch query SQL calculations and filters to dynamicallyVariances in Report Studio generated control the data returned

line SQL Resolve confusion caused by multipleDescribe IBM Cognos components Dimensionally modeled relational SQL relationships between a time dimensionDescribe IBM Cognos architecture at a high generation and another table level Cross join SQL Identify conformed vs. non-conformedDefine IBM Cognos groups and roles Various results sets for multi-fact queries dimensionsExplain how to extend IBM Cognos Leverage session, model, and custom Create star schema groupings to provideExamine relationships and cardinality parameters authors with logical groupings of queryIdentify different data traps Create prompt macros subjectsExamine dimensional data sources Leverage macro functions associated Rapidly create a model using the ModelDefine reporting requirements with security Design Accelerator Explore data sources to identify data access Remap metadata to another source Identify the effects on generated SQLstrategies Import and link a second data source when modifying query subjects, SQLDefine a project and its structure Run scripts to automate or update a settings and relationshipsDescribe the Framework Manager model Restrict access to packagesenvironment Create a model report Create and apply security filtersCreate a baseline project Use Dynamic Query Mode in Framework Restrict access to objects in the model Enhance the model with additional metadata Manager Define members and member uniqueExamine relationships, and data traps Branch a project and merge results namesVerify relationships and query item Control model versioning Identify changes that impact a MUNproperties Nest packages Sort members for presentation andEnsure efficient filters by configuring prompt Set the order of operations in a model predictability properties calculation Publish an OLAP modelDescribe how IBM Cognos BI uses Externalize query subjects Publish a model with multiple OLAP datacardinality Prepare IBM Cognos 10 content for use sourcesIdentify reporting traps as a data source in Transformer Publish a model with an OLAP data sourceUse tools to analyze the model Create query sets and a relational data source Model in layers Use external source control through Stitch query SQLCreate aliases to avoid ambiguous joins Windows Explorer Conformed and non-conformedMerge query subjects to create as view dimensions in generated SQLbehavior Advanced Generated SQL Concepts and Multi-fact/multi-grain stitch query SQLCreate virtual dimensions to resolve Complex Queries Variances in Report Studio generated SQLfact-to-fact joins line Dimensionally modeled relational SQLCreate a consolidated modeling layer for Governors that affect SQL generation generationpresentation purposes Cross join SQLConsolidate snowflake dimensions with Various results sets for multi-fact queries model query subjects line Leverage session, model, and customSimplify facts by hiding unnecessary codes Describe IBM Cognos components parametersUse static filters to reduce the data returned Describe IBM Cognos architecture at a Create prompt macrosUse macros and parameters in calculations high level Leverage macro functions associated withand filters to dynamically control the data Define IBM Cognos groups and roles security returned Explain how to extend IBM Cognos Remap metadata to another sourceResolve confusion caused by multiple Examine relationships and cardinality Import and link a second data sourcerelationships between a time dimension and Identify different data traps Run scripts to automate or update a modelanother table Examine dimensional data sources Create a model report Identify conformed vs. non-conformed Define reporting requirements Use Dynamic Query Mode in Frameworkdimensions Explore data sources to identify data Manager Create star schema groupings to provide access strategies Branch a project and merge results authors with logical groupings of query Define a project and its structure Control model versioningsubjects Describe the Framework Manager Nest packages Rapidly create a model using the Model environment Set the order of operations in a modelDesign Accelerator Create a baseline project calculationIdentify the effects on generated SQL when Enhance the model with additional Externalize query subjectsmodifying query subjects, SQL settings and metadata Prepare IBM Cognos 10 content for use asrelationships Examine relationships, and data traps a data source in TransformerRestrict access to packages Verify relationships and query item Create query setsCreate and apply security filters properties Use external source control throughRestrict access to objects in the model Ensure efficient filters by configuring Windows Explorer Define members and member unique names prompt properties Identify changes that impact a MUN Describe how IBM Cognos BI uses Appendix B: Model Multilingual Metadata Sort members for presentation and cardinality line


predictability Identify reporting traps Customize metadata for a multilingualPublish an OLAP model Use tools to analyze the model audience Publish a model with multiple OLAP data Model in layerssources Create aliases to avoid ambiguous joins Appendix C: Additional Resources Publish a model with an OLAP data source Merge query subjects to create as view lineand a relational data source behavior Links to sites where the customer can findStitch query SQL Create virtual dimensions to resolve more information about course-relatedConformed and non-conformed dimensions fact-to-fact joins material.in generated SQL Create a consolidated modeling layer forMulti-fact/multi-grain stitch query SQL presentation purposesVariances in Report Studio generated SQL Consolidate snowflake dimensions withDimensionally modeled relational SQL model query subjectsgeneration Simplify facts by hiding unnecessaryCross join SQL codes Various results sets for multi-fact queries Use static filters to reduce the dataLeverage session, model, and custom returnedparameters Use macros and parameters inCreate prompt macros calculations and filters to dynamicallyLeverage macro functions associated with control the data returned security Resolve confusion caused by multipleRemap metadata to another source relationships between a time dimensionImport and link a second data source and another table Run scripts to automate or update a model Identify conformed vs. non-conformedCreate a model report dimensionsUse Dynamic Query Mode in Framework Create star schema groupings to provideManager authors with logical groupings of queryBranch a project and merge results subjectsControl model versioning Rapidly create a model using the ModelNest packages Design Accelerator Set the order of operations in a model Identify the effects on generated SQLcalculation when modifying query subjects, SQLExternalize query subjects settings and relationshipsPrepare IBM Cognos 10 content for use as a Restrict access to packagesdata source in Transformer Create and apply security filtersCreate query sets Restrict access to objects in the model Use external source control through Define members and member uniqueWindows Explorer names

Identify changes that impact a MUNModel for Predictable Results: Consolidate Sort members for presentation andMetadata predictability line Publish an OLAP model

Create virtual facts to simplify writing queries Publish a model with multiple OLAP datasourcesPublish a model with an OLAP data

line source and a relational data source Describe IBM Cognos components Stitch query SQLDescribe IBM Cognos architecture at a high Conformed and non-conformedlevel dimensions in generated SQLDefine IBM Cognos groups and roles Multi-fact/multi-grain stitch query SQLExplain how to extend IBM Cognos Variances in Report Studio generatedExamine relationships and cardinality SQLIdentify different data traps Dimensionally modeled relational SQLExamine dimensional data sources generationDefine reporting requirements Cross join SQLExplore data sources to identify data access Various results sets for multi-fact queries strategies Leverage session, model, and customDefine a project and its structure parametersDescribe the Framework Manager Create prompt macrosenvironment Leverage macro functions associatedCreate a baseline project with security Enhance the model with additional metadata Remap metadata to another sourceExamine relationships, and data traps Import and link a second data sourceVerify relationships and query item Run scripts to automate or update aproperties modelEnsure efficient filters by configuring prompt Create a model report properties Use Dynamic Query Mode in Framework


Describe how IBM Cognos BI uses Manager cardinality Branch a project and merge results Identify reporting traps Control model versioningUse tools to analyze the model Nest packages Model in layers Set the order of operations in a modelCreate aliases to avoid ambiguous joins calculationMerge query subjects to create as view Externalize query subjectsbehavior Prepare IBM Cognos 10 content for useCreate virtual dimensions to resolve as a data source in Transformerfact-to-fact joins Create query setsCreate a consolidated modeling layer for Use external source control throughpresentation purposes Windows Explorer Consolidate snowflake dimensions withmodel query subjectsSimplify facts by hiding unnecessary codes lineUse static filters to reduce the data returned Describe IBM Cognos componentsUse macros and parameters in calculations Describe IBM Cognos architecture at aand filters to dynamically control the data high levelreturned Define IBM Cognos groups and rolesResolve confusion caused by multiple Explain how to extend IBM Cognos relationships between a time dimension and Examine relationships and cardinalityanother table Identify different data trapsIdentify conformed vs. non-conformed Examine dimensional data sources dimensions Define reporting requirementsCreate star schema groupings to provide Explore data sources to identify dataauthors with logical groupings of query access strategies subjects Define a project and its structureRapidly create a model using the Model Describe the Framework ManagerDesign Accelerator environmentIdentify the effects on generated SQL when Create a baseline projectmodifying query subjects, SQL settings and Enhance the model with additionalrelationships metadata Restrict access to packages Examine relationships, and data trapsCreate and apply security filters Verify relationships and query itemRestrict access to objects in the model propertiesDefine members and member unique names Ensure efficient filters by configuringIdentify changes that impact a MUN prompt properties Sort members for presentation and Describe how IBM Cognos BI usespredictability cardinalityPublish an OLAP model Identify reporting trapsPublish a model with multiple OLAP data Use tools to analyze the model sources Model in layersPublish a model with an OLAP data source Create aliases to avoid ambiguous joinsand a relational data source Merge query subjects to create as viewStitch query SQL behavior Conformed and non-conformed dimensions Create virtual dimensions to resolvein generated SQL fact-to-fact joinsMulti-fact/multi-grain stitch query SQL Create a consolidated modeling layer forVariances in Report Studio generated SQL presentation purposesDimensionally modeled relational SQL Consolidate snowflake dimensions withgeneration model query subjectsCross join SQL Simplify facts by hiding unnecessaryVarious results sets for multi-fact queries codes Leverage session, model, and custom Use static filters to reduce the dataparameters returnedCreate prompt macros Use macros and parameters inLeverage macro functions associated with calculations and filters to dynamicallysecurity control the data returned Remap metadata to another source Resolve confusion caused by multipleImport and link a second data source relationships between a time dimensionRun scripts to automate or update a model and another table Create a model report Identify conformed vs. non-conformedUse Dynamic Query Mode in Framework dimensionsManager Create star schema groupings to provideBranch a project and merge results authors with logical groupings of queryControl model versioning subjects


Nest packages Rapidly create a model using the ModelSet the order of operations in a model Design Accelerator calculation Identify the effects on generated SQLExternalize query subjects when modifying query subjects, SQLPrepare IBM Cognos 10 content for use as a settings and relationshipsdata source in Transformer Restrict access to packagesCreate query sets Create and apply security filtersUse external source control through Restrict access to objects in the model Windows Explorer Define members and member unique

namesIdentify changes that impact a MUNSort members for presentation andpredictability Publish an OLAP modelPublish a model with multiple OLAP datasourcesPublish a model with an OLAP datasource and a relational data source Stitch query SQLConformed and non-conformeddimensions in generated SQLMulti-fact/multi-grain stitch query SQLVariances in Report Studio generatedSQLDimensionally modeled relational SQLgenerationCross join SQLVarious results sets for multi-fact queries Leverage session, model, and customparametersCreate prompt macrosLeverage macro functions associatedwith security Remap metadata to another sourceImport and link a second data sourceRun scripts to automate or update amodelCreate a model report Use Dynamic Query Mode in FrameworkManager Branch a project and merge results Control model versioningNest packages Set the order of operations in a modelcalculationExternalize query subjectsPrepare IBM Cognos 10 content for useas a data source in TransformerCreate query setsUse external source control throughWindows Explorer

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